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Mendeley readers
Attention Score in Context
| Title |
Ethnic differences in ischemic stroke subtypes in young-onset stroke: the Stroke Prevention in Young Adults Study
|
|---|---|
| Published in |
BMC Neurology, October 2015
|
| DOI | 10.1186/s12883-015-0461-7 |
| Pubmed ID | |
| Authors |
Megh M. Trivedi, Kathleen A. Ryan, John W. Cole |
| Abstract |
Prior studies indicate that young African-Americans (AA) have a greater frequency of ischemic stroke than similarly aged European-Americans (EA). We hypothesized that differences in stroke subtype frequency mediated through sex and differing risk factor profiles may play a role in ethnicity-specific stroke. Utilizing our biracial young-onset stroke population, we explored these relationships. Fifty nine hospitals in the Baltimore-Washington area participated in a population-based study of young-onset stroke in men (218-AA, 291-EA) and women (219-AA, 222-EA) aged 16-49. Data on age, sex, ethnicity and stroke risk factors (hypertension (HTN) and smoking) were gathered through standardized interview. A pair of vascular neurologists adjudicated each case to determine TOAST subtype. Logistic regression analyses evaluating for differences in stroke risk factors by TOAST subtype were performed. Analyses controlling for age and sex demonstrated that AA were more likely to have a lacunar stroke than EA (OR = 1.61; 95 % CI = 1.12-2.32; p = 0.011) when utilizing the other TOAST subtypes as the reference group. This effect was mediated by HTN, which increases the risk of lacunar stroke (OR = 2.03; 95 % CI = 1.38-2.98; p = 0.0003) and large artery stroke (OR = 1.70; 95 % CI = 1.01-2.88; p = 0.048) when controlling for sex, ethnicity, and age. Cases below age 40 were more likely to have a cardioembolic stroke than those above age 40 (OR = 1.62; 95 % CI = 1.15-2.27; p = 0.006), controlling for sex and ethnicity. Lastly, current smokers were more likely to have a large artery stroke than non-smokers (OR = 1.79; 95 % CI = 1.08-2.98; p = 0.024). Our population-based data demonstrate ethnic differences in ischemic stroke subtypes. These findings may help clarify mechanisms of stroke in young adults which may in part be driven by ethnic-specific differences in early-onset traditional risk factors, thereby indicating differing emphasis on workup and prevention. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| United Kingdom | 1 | 2% |
| China | 1 | 2% |
| Unknown | 56 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 17% |
| Student > Master | 7 | 12% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Postgraduate | 5 | 8% |
| Researcher | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 32% |
| Social Sciences | 5 | 8% |
| Nursing and Health Professions | 5 | 8% |
| Agricultural and Biological Sciences | 2 | 3% |
| Unspecified | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2017.
All research outputs
#15,349,419
of 22,831,537 outputs
Outputs from BMC Neurology
#1,481
of 2,435 outputs
Outputs of similar age
#166,883
of 284,657 outputs
Outputs of similar age from BMC Neurology
#44
of 69 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 284,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.